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Item Performance Assessment of some Existing and New Ridge Regression Estimators(UMT.Lahore, 2017-10-16) Himmad khanAn important assumption of the multiple linear regression model is that the regressors should be independent, which is violated in practice. Due to violation of this assumption, the problem of multicollinearity occurs and results into unreliable statistical inference for the model parameters. To cope this, several biased estimation techniques, including ridge regression, have been proposed in the literature. In ridge regression, the key problem is to estimate the ridge parameter and there are several methods in the literature for this purpose. In this thesis, we propose six different shrinkage estimators, named as HMS1 to HMS6 and further compare them to some existing methods, like HK, KMS, KSM, KMED and KGM. We use Monte Carlo simulations to assess the performance of different estimators assuming the mean square error as a performance comparison criterion.Item A COMPARISON OF DIFFERENT WEATHER FORCASTING MODELS(UMT.Lahore, 2017) Zaheer AbbasIn this thesis, we studied the performance of different statistical models and compare their forecast accuracy. In particular, we used multiple linear regression (MLR), seasonal autoregressive fractional integrated moving average (SARFIMA), and artificial neural network (ANN).Item Relationship between Ease of Doing Business and GDP(UMT.Lahore, 2017-11-11) Faiza ShahidBusiness is of immense importance for the life of a country. Economy of whole country depends on its business. Each Govt. is introducing new policies and programs to increase business in country as well as to make easiest to do business for investors. Many factors are considered for doing business in any country such as its market, currency rate of country, demand of product or service in country, costs, inflation rate, climate and culture etc. Culture of Muslim and Non-Muslim countries is very different due to many factors such as finance system of Muslim countries, consumption pattern of different things, concept of interest, social culture, religious holiday, weekend days, economic role of women, joint family system and sharia etc. In this paper, we identified the difference in Mean of Ease of Doing Business in Muslim and Non-Muslim countries by using the ANOVA models. Moreover we not only described the effect of Gross Domestic Product on Ease of Doing Business but we also considered the social and environmental factors too while considering the relation of business and GDP. Moreover we extended our study by showing the path by Which GDP effect EODB. We used the measure of Social Progress index for social and environmental factors and we checked the mediation effect of Social Progress Index in relation of Ease of Doing Business and Gross Domestic Product. We used the bias corrected mediation technique for testing indirect effect.Item Relationship between Ease of Doing Business and GDP(UMT.Lahore, 2017-11-11) Faiza ShahidBusiness is of immense importance for the life of a country. Economy of whole country depends on its business. Each Govt. is introducing new policies and programs to increase business in country as well as to make easiest to do business for investors. Many factors are considered for doing business in any country such as its market, currency rate of country, demand of product or service in country, costs, inflation rate, climate and culture etc. In this paper, we identified the difference in Mean of Ease of Doing Business in Muslim and Non-Muslim countries by using the ANOVA models. Moreover, we not only described the effect of Gross Domestic Product on Ease of Doing Business, but we also considered the social and environmental factors too while considering the relation of business and GDP. Moreover, we extended our study by showing the path by Which GDP effect EODB. We used the measure of Social Progress index for social and environmental factors, and we checked the mediation effect of Social Progress Index in relation of Ease of Doing Business and Gross Domestic Product. We used the bias corrected mediation technique for testing indirect effect.Item Mixture Regression Estimators of Population mean under Stratified Random Sampling(UMT.Lahore, 2017-03) Madiha FatimaIn this study, Mixture Regression Estimators for single phase sampling under stratified random sampling have been proposed, by incorporating the simultaneous use of information on auxiliary variables and attributes. The estimators have been proposed for three different cases and their mean square errors have been derived mathematically. A Simulation study has been done by using simulated data, to check the distribution of proposed estimators. This study shows that proposed estimators, seems to follow the normal distribution. An empirical study has also been done by considering two natural data sets. Mean square errors (MSE’s) for the proposed estimators have also been computed and Efficiency comparisons made with single phase mixture regression estimators proposed by Moeen et al. (2012). On the basis of MSE’s computed through simulation and empirical studies, it is to be concluded that proposed estimators are more efficient than that of estimators proposed by Moeen et al. (2012) for simple random sampling.Item Exploring the Factors Affecting the Purchase of Different Mobile Phone Brands(UMT.Lahore, 2017-06) Madiha JavedIn this study we explore the effects of various factorsin selecting a specific mobile brand by students of different universities of Lahore.Multinomial logistic model has been utilized to check significance and effect of the variables. Results revealed that gender, age, discipline of study, job status, no. of family members, no. of employed family members and mobile phone price has turned out to be statistically significant indicators for selection of mobile brand. Gender, age, discipline of study, job status and no. of family member have positive effect on selecting mobile brands such as Samsung, Nokia, LG, Huawei and Others. While no. of employed family members and mobile phone price have negative effecting on selecting these brands.Item Mixture Regression cum Ratio Estimators of Population mean under Stratified Random Sampling(UMT.Lahore, 2017-03) Kanwal IqbalIn this thesis, single phase Mixture Regression cum ratio Estimators by using auxiliary variables and auxiliary attributes simultaneously have been proposed under Stratified Random Sampling. Special cases of the estimator are discussed and their mean square errors are also derived mathematically. A simulation technique has been used to observe the properties of proposed estimator which shows that the distribution of proposed estimator approximately normal. . An empirical study has been conducted by incorporating quantitative and qualitative characteristics in the form of auxiliary attributes and variables simultaneously to compare the performance of proposed estimator. Comparisons are made with Moeen et al. (2012) single phase mixture regression cum ratio estimator under simple random sampling. It has been found that the mixture regression cum ratio estimator using multiple auxiliary variables and attributes simultaneously under stratified random sampling is more efficient than Moeen et al., (2012) mixture regression cum ratio estimator under simple random sampling.Item Income Inequality Comparison Through Parametric Modeling(UMT.Lahore, 2017-02) Hussnain AbbasThis study takes into account the determination of income inequality by non-parametric and parametric approach and comparison of the two techniques in the context of Multiple Indicator Cluster survey (MICS) data of Punjab for the years 2007-08 and 2013-14.Item Exploring and Comparing Factors Affecting the Reading Abilities of Grade-III Students(UMT.Lahore, 2017-05) Sidra MujahidIn this study we investigate different factors affecting the reading abilities of Grade III students’ in Army Public Schools of Lahore. Data has been collected from 10 APSACS Schools. A sample of 299 respondents has been drawn using probability proportional to size sampling technique. Ordinal Logistic Regression analysis has been used to explore the factors affecting students’ reading achievement. It is concluded that occupation, facility library and comments on pictures have a significant effect on students’ reading achievement.Item Agent Base Simulation Fashion Retail Chain(UMT.Lahore, 2017) Azam SaeedThis research develops a multi-agent simulation model for fashion retail supply chain. Intelligent agents are designed using SQL to performed key roles of supply chain management for fashion retail.Item The Impact of Economic Performance, Democracy and US Aid on Terrorism(UMT.Lahore, 2017-02) Muhammad Saqib MaqsoodThis research work is an attempt to examine the economic and political factors that can have a significant impact on terrorism within Pakistan. We captured data for Inflation, Investment, Educational Expenditures, Trade, Democracy and US Aid to Pakistan. Autoregressive Distributed Lag Model (ARDL) along with granger causality testwas applied to analyze short-run, long-run impact coefficients and direction of granger causality among these variables. The results suggest that increasing educational expenditures and investment in the country are increasing terrorism in Pakistan. While on the other hand, decreasing inflation and increasing trade can dampen the intensity of terrorist attack. More US Aid directed towards counter-terrorism policies and non democratic regimes were also found to have increased terrorism intensity.Item FACTORS EFFECTING ON STUDENTS ACADEMIC PERFORMANCE OF PAKISTANI SCHOOL'S CHILDREN IN THE SULTANATE OF OMAN(UMT.Lahore, 2017) Zameer HussainAcademic Performance of Students is a foremost function of any academic institution. The level of academic achievement is the measure to coined better one institution to the other. Several quantitative methods have been employed to measure and understand the different areas where the Academic Performance of the students is being affected. The study reflects the factors affecting Academic Performance of Students of Pakistani Schools in the Sultanate of Oman in which several independent variables were suggested to check the Academic Performance of Students. Factor analysis was used to determine the number of factors that are affecting the Academic Performance of Students of Pakistan school in Sultanate of Oman. Marks of English and Mathematics were created impact on Academic Performance of Students while Social Media, usage of Mobile games and watching TV were created negative impact on Academic Performance of the Students of Pakistani schools in Sultanate of Oman.